Kana Uotani
Papers
1
Total Citations
3
H-Index
1
About
Kana Uotani’s research sits at the intersection of social robotics and human-robot interaction, with a focus on enabling robots to navigate and serve in unstructured public spaces. Her most cited work, “Social Common Sense Modeling of a Spread-out Queue in Public Space for a Service Robot” (2017, 3 citations), tackles a deceptively complex challenge: programming robots to understand and respect the informal, spread-out queues that form in real-world environments like plazas or event halls. Rather than treating people as obstacles, Uotani’s model imbues robots with a form of social awareness—recognizing that a scattered group of waiting individuals constitutes a queue with its own implicit norms. This contribution is foundational for service robots tasked with handing out flyers or touting, where interrupting a queue would be socially disruptive. While her citation count is modest, the work’s originality lies in formalizing an everyday social scenario that most robotics research overlooks. Uotani’s approach demonstrates that effective public-space robotics requires not just navigation algorithms, but a nuanced understanding of human social conventions—a principle that will only grow in importance as robots become more common in our daily lives.
Research Focus
Key Achievements
Top Papers
- 1